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Yu-Ting Ko

2 accepted papers

2023

Curriculum Reinforcement Learning From Avoiding Collisions to Navigating Among Movable Obstacles in Diverse Environments

RA-L 2023

Curriculum learning has proven highly effective to speed up training convergence with improved performance in a variety of tasks. Researchers have been studying how a curriculum can be constituted to train reinforcement learning (RL) agents in various application domains. However, discovering curric

Cited by 36SourceScholar
2023

Fed-HANet: Federated Visual Grasping Learning for Human Robot Handovers

RA-L 2023

Human-robot handover is a key capability of service robots, such as those used to perform routine logistical tasks for healthcare workers. Recent algorithms have achieved tremendous advances in object-agnostic end-to-end planar grasping with up to six degrees of freedom (DoF); however, compiling the

Cited by 11SourcecodeScholar